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- [x] Replace missing values with the mode or median on a column-wise basis.
- [x] Encode categorical variables using appropriate methods.
- [x] Remove rows with missing values.
- [ ] Automatic dis…
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# Challenge 25 - Regional Reanalysis for Europe with Machine Learning
> **Stream 2** - Machine Learning for Earth Science
### Goal
The main objective of this challenge is to develop a downsc…
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Hi.
I'd like to contribute towards developing Neo4j Spatial. Is there a place where I can see the development plan and get involved in the discussion? I see a few areas where improvements appear to b…
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Incorporating segmentation masks into appearance module will allow learning of localized ciliary patches. Right now, we have segmentation masks on ~20% of entire dataset and appearance module is not t…
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## Target
- Given (orig, destination, timestamp, …), calculate estimate travel time.
- We want to use user's prob data to generate ETA
- We want the system could represent the liveness of our GP…
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### Context
So far, when training models using several channels/contrasts (e.g. T1w, T2w), images need to be co-registered for each subject. This takes time and is prone to error. What if we would …
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Certainly, here's the completed proof-of-concept with detailed logics filled in:
```python
import time
import requests
import tensorflow as tf
from qiskit import Aer, QuantumCircuit, execute
class E…
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Hi
I am trying to run the source code of this paper.（Learning Interpretable Spatial Operations in a Rich 3D Blocks World）, but I have encountered many problems.
If you have time, could you complete …
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# Challenge 23- Mapping Emissions of Air Pollutants
> **Stream 2** - Machine Learning for weather, climate and atmosphere applications
### Goal
Derive suitable proxies for spatial and tempora…
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HI @tbepler, I am trying to reproduce the results of your paper on the galaxy dataset but unable to exactly achieve those. Could you please share the exact training parameters. I am currently using th…